Paper Info
Title
A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis
Abstract
The high spread of Internet and social networks have completely changed the way that Group Decision Making methods are designed, developed and implemented. Experts now operate in environments where a large amount of information is available and new ideas and participants can appear at any time; this results in a dynamically changing decision environment. In this paper, a novel group decision making method for dynamic contexts with a high number of decision alternatives is presented. As the main component of the proposal, a perceptual computing scheme is used in order to extract information from the experts. In the process, sentiment analysis is used when analyzing the debate texts in order to obtain information for selecting the best alternatives on each round. Moreover, interval type-2 hesitant Fuzzy Ontologies are used in order to store the information related to alternatives. By combining interval type-2 and hesitant fuzzy sets, imprecise information can be represented in a comfortable and intuitive way within the ontology.
Year
DOI
Venue
2020
10.1016/j.knosys.2020.105657
Knowledge-Based Systems
Keywords
DocType
Volume
Group decision making,Fuzzy ontologies,Sentiment analysis,Computing with words,Type-2 hesitant fuzzy sets
Journal
195
ISSN
Citations 
PageRank 
0950-7051
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Juan Antonio Morente-Molinera1734.12
Francisco Javier Cabrerizo2165559.39
József Mezei320220.07
Christer Carlsson41844164.70
Enrique Herrera-Viedma513105642.24